
Fair data
Data ethics and algorithmic fairness, with case studies.
- Level
- Bitesize
- Learning time
- 1 hour 15 minutes
- Where
- Understanding Data and Data Analysis
- Price
- £39
When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Read the full terms
Certificate of Completion
Overview and Outcomes.
Overview
Data is made by people, so its quality depends on how people feel about producing, sharing and hearing it. This module covers an Avanti view of data maturity, five features of a healthy data culture, Donella Meadows on information flows, the Government Digital Service's Data and AI Ethics Framework, and how bias scales inside automated systems, including the DWP's own fairness analysis of its Universal Credit advances model. Capable, well-intentioned people can look at the same figures and see very different things. This capstone examines four real cases: the Challenger disaster, read through Edward Tufte, the engineers' reply and Diane Vaughan's normalisation of deviance; the Post Office Horizon scandal; the Mid Staffordshire mortality data; and the Covid-19 R number. It draws the course together in six habits of a data-wise leader.
What you'll develop
In this Bitesize, you will develop the ability to:
- Describe how organisational culture shapes what data is allowed to say, and identify the features of a healthy data culture.
- Apply the principles of the Data and AI Ethics Framework, treating fairness as a continuing choice rather than a box ticked once.
- Distinguish a data-driven from a data-informed stance, and judge which keeps people accountable for decisions in your setting.
- Explain how the same data was read differently in the Challenger, Horizon, Mid Staffordshire and Covid-19 cases, and why some readings prevailed.
- Treat ratios and estimates as questions rather than answers, presenting their method, range and age honestly.
- Assess where your organisation stands on technical data capability and collective sensemaking, and plan which of the six habits to strengthen.
The Modules.
1 hour 15 minutes of learning.
- 16Data Culture, Ethics and Algorithmic FairnessData is made by people, so its quality depends on how people feel about producing, sharing and hearing it. This module covers an Avanti view of data maturity, five features of a healthy data culture, Donella Meadows on information flows, the Government Digital Service's Data and AI Ethics Framework, and how bias scales inside automated systems, including the DWP's own fairness analysis of its Universal Credit advances model.39 min
- 17Capstone: Applied Case StudiesCapable, well-intentioned people can look at the same figures and see very different things. This capstone examines four real cases: the Challenger disaster, read through Edward Tufte, the engineers' reply and Diane Vaughan's normalisation of deviance; the Post Office Horizon scandal; the Mid Staffordshire mortality data; and the Covid-19 R number. It draws the course together in six habits of a data-wise leader.42 min
Keep going.
Part of the Understanding Data and Data Analysis topic, also sold whole as Beyond the dashboard.
Go deeper, and pay only the difference
- You are hereBitesize, 1 hour 15 minutes, £39
- Next stepFocus, Data in a complex world, 4 hours, £69. Already own the Bitesize? You pay £30.
- Explore, Data for complex decisions, 5 hours 30 minutes, £129. Already own the Bitesize? You pay £90.
- The whole topicImmerse, Beyond the dashboard, 11 hours, £249. Already own the Bitesize? You pay £210.
When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Prices per person. Read the full terms
Also part of: Leading with data and digital, From data to decisions
Other Bitesize in the Understanding Data and Data Analysis topic
- Method follows the questionData collection methods, types and quality2 hours£39
- Seeing differentlyReading data honestly and differing perceptions1 hour 15 minutes£39
- When formulas decideSocial meaning and the seduction of objectivity1 hour 15 minutes£39
- Consequences and uncertaintyUnintended consequences and sensemaking with data1 hour 15 minutes£39
- Making sense togetherWhose data, and collective sensemaking methods1 hour 15 minutes£39
- Stories as evidenceQualitative evidence and evaluation in complexity1 hour 15 minutes£39